The game industry is huge with enormous profits. Currently, about sixty five percent of US households play video games. Gaming keeps becoming more and more advanced with new technologies. However, there are very few games provide support to gamers with disabilities. This lack of support prevents many disabled gamers from being able to play games. With the goals of hands-free, no expensive equipment, and relatively low implementation cost, this project studies the available technologies that can be applied to games to support people who cannot use their hands. The performance in speed and accuracy of the technologies when applied to games are evaluated in this project. Based on the experimented results, this project points out the advantages, disadvantages, problems encountered with the technologies, and proposes solutions to solve those problems. The results of evaluation show that speech recognition and face detection are very promising technologies that have high potential for increasing game accessibility.